Applied & Human-Centered · Computer Science & AI
Robotics
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4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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Newest papers, page 56
RoboMMT: Learning Stable Tracking of Modulated Expressive and Interactive Robot Motion
Expressive robot motion can improve naturalness, effectiveness, and perceived likability in human-robot interaction.A Human-in-the-Loop Comparison of Proportional Control and Adaptive Gravity Compensation in Elbow EMG-Driven Exoskeletons
Electromyography (EMG)-driven control enables wearable robots to assist users based on their neuromuscular activity.ALIGN: Aligning Condition Estimation and Expression in Advantage-Conditioned Behavior Cloning
Human-collected robot manipulation data often mix successful behavior with retries, pauses, recoveries, and failures.SPAR: Structural Pruning and Action Recovery for Vision-Language-Action Models
The limited onboard computing resources of robots make the inference demands of vision-language-action (VLA) models costly to accommodate.Learn the Task, Not the Schedule: Reducing Spurious Cross-Arm Coupling in Bimanual Imitation Learning
A bimanual demonstration specifies both what the robot should do and one particular schedule for when each arm should act.Learning Geometry-Aware Planning Representations for Monocular Flight with Cross-Modal Supervision
Existing high-speed navigation systems for micro aerial vehicles (MAVs) commonly rely on depth cameras, stereo vision, or LiDAR to obtain explicit geometric information, while monocular cameras…ReInsVLN: Revisiting Historical Evidence for Training-Free Vision-and-Language Navigation
Vision-and-language navigation (VLN) relies on retaining and using relevant observations.Learning Wheel Motion Uncertainty for Degeneracy-Aware LiDAR-Inertial Odometry on Quadrupedal Wheel-Legged Robots
Wheel kinematics can support odometry for quadrupedal wheel-legged robots when LiDAR geometry provides weak motion constraints.HAF-VLA: Hierarchical Action Flow Framework for Humanoid Vision-Language-Action Control
Humanoid robots hold great promise as general-purpose agents in human-centered environments, yet adapting generalist vision-language-action (VLA) policies to real-world humanoid loco-manipulation…A Probabilistic, Rotation-Preserving Kernel Operator Surrogate for Continuum-Robot Design Spaces
We develop an uncertainty-aware, operator-learning-based surrogate for tendon-driven continuum robots (TDCRs) that generalizes across robot design and actuation while predicting the complete…VaDar: Implicit Goal Conditioning via Value Disaggregation
Long-horizon tasks are important for modern AI and robotics, yet pose a challenge for reinforcement learning.CAOS-SLAM: Class-Agnostic Object-Aware Real-Time vSLAM for Dynamic Environments
Robust visual Simultaneous Localization and Mapping (vSLAM) in dynamic environments faces challenges due to the presence of moving objects that may introduce erroneous observations, corrupt the map…EgoRayFormer: Ray-Space Stereo Refinement for Egocentric 3D Human Pose Estimation
Head-mounted stereo fisheye cameras provide a compact view of the wearer's body, but strong distortion, partial visibility and a short baseline make 3D pose estimation difficult.RoboValue: A Fine-Grained Sim-and-Real Benchmark for Unified Evaluation of Robotic Value Models
Robotic value models assess task execution from visual observations and instructions, providing feedback for policy learning and execution monitoring.Robotic Physical Comparison of Biologically Motivated and Counterfactual Sensory Arrangements using Biomimetic Skin
Human skin contains diverse mechanoreceptors, including Merkel cells and Pacinian corpuscles, each localized in specific regions.Foundation Model Driven Optical Flow
We investigate how frozen pretrained visual and depth representations support dense optical flow when coupled with a supervised matching network.Robot Learning with Vision-Language-Action Models for Agricultural Manipulation
Robotic manipulation in agricultural environments remains challenging due to variations in plant geometry, occlusion, and camera viewpoints.Simulation Priors for Rapid Adaptation in Model-Based RL for Autonomous Racing
Reinforcement learning enables learning high-performance control policies, but its reliance on extensive interaction limits deployment on physical systems where data collection is costly, and…Tactile In-Hand Object Rotation: A Comparative Study of Hand Morphology in Simulation and Hardware
Continuous in-hand rotation requires coordinated contact maintenance and renewal, linking manipulation performance to both hand geometry and tactile feedback.DexOAK: Object-Aware Kinematic Retargeting
We introduce DexOAK, a learning-based object-aware kinematic retargeting framework for generating contact-consistent robot hand references from human motion-capture data.